Open kenhuang opened 4 months ago
error without zluda
C:\Users\ken>ollama.exe serve
time=2024-04-22T20:19:08.641+10:00 level=INFO source=images.go:817 msg="total blobs: 20"
time=2024-04-22T20:19:08.642+10:00 level=INFO source=images.go:824 msg="total unused blobs removed: 0"
time=2024-04-22T20:19:08.643+10:00 level=INFO source=routes.go:1143 msg="Listening on [::]:11434 (version 0.1.32)"
time=2024-04-22T20:19:08.654+10:00 level=INFO source=payload.go:28 msg="extracting embedded files" dir=C:\Users\ken\AppData\Local\Temp\ollama570398800\runners
time=2024-04-22T20:19:08.850+10:00 level=INFO source=payload.go:41 msg="Dynamic LLM libraries [cpu_avx2 cuda_v11.3 rocm_v5.7 cpu cpu_avx]"
[GIN] 2024/04/22 - 20:19:14 | 200 | 0s | 127.0.0.1 | HEAD "/"
[GIN] 2024/04/22 - 20:19:14 | 200 | 1.0618ms | 127.0.0.1 | POST "/api/show"
time=2024-04-22T20:19:14.572+10:00 level=INFO source=gpu.go:121 msg="Detecting GPU type"
time=2024-04-22T20:19:14.572+10:00 level=INFO source=gpu.go:268 msg="Searching for GPU management library cudart64_*.dll"
time=2024-04-22T20:19:14.611+10:00 level=INFO source=gpu.go:314 msg="Discovered GPU libraries: [C:\\Users\\ken\\AppData\\Local\\Programs\\Ollama\\cudart64_110.dll C:\\Program Files (x86)\\NVIDIA Corporation\\PhysX\\Common\\cudart64_60.dll]"
time=2024-04-22T20:19:14.612+10:00 level=INFO source=gpu.go:343 msg="Unable to load cudart CUDA management library C:\\Users\\ken\\AppData\\Local\\Programs\\Ollama\\cudart64_110.dll: your nvidia driver is too old or missing, please upgrade to run ollama"
time=2024-04-22T20:19:14.612+10:00 level=INFO source=gpu.go:343 msg="Unable to load cudart CUDA management library C:\\Program Files (x86)\\NVIDIA Corporation\\PhysX\\Common\\cudart64_60.dll: your nvidia driver is too old or missing, please upgrade to run ollama"
time=2024-04-22T20:19:14.612+10:00 level=INFO source=gpu.go:268 msg="Searching for GPU management library nvml.dll"
time=2024-04-22T20:19:14.646+10:00 level=INFO source=gpu.go:314 msg="Discovered GPU libraries: []"
time=2024-04-22T20:19:14.646+10:00 level=INFO source=cpu_common.go:11 msg="CPU has AVX2"
time=2024-04-22T20:19:14.663+10:00 level=INFO source=amd_windows.go:40 msg="AMD Driver: 50732000"
time=2024-04-22T20:19:14.663+10:00 level=INFO source=amd_windows.go:69 msg="detected 1 hip devices"
time=2024-04-22T20:19:14.663+10:00 level=INFO source=amd_windows.go:87 msg="[0] Name: AMD Radeon 780M Graphics"
time=2024-04-22T20:19:14.663+10:00 level=INFO source=amd_windows.go:90 msg="[0] GcnArchName: gfx1103"
time=2024-04-22T20:19:14.900+10:00 level=INFO source=amd_windows.go:117 msg="[0] Total Mem: 23158226944"
time=2024-04-22T20:19:14.900+10:00 level=INFO source=amd_windows.go:118 msg="[0] Free Mem: 23309320192"
time=2024-04-22T20:19:14.900+10:00 level=INFO source=assets.go:123 msg="Updating PATH to C:\\Users\\ken\\AppData\\Local\\Programs\\Ollama\\rocm;C:\\Program Files (x86)\\NVIDIA Corporation\\PhysX\\Common;C:\\WINDOWS\\system32;C:\\WINDOWS;C:\\WINDOWS\\System32\\Wbem;C:\\WINDOWS\\System32\\WindowsPowerShell\\v1.0\\;C:\\WINDOWS\\System32\\OpenSSH\\;C:\\Recovery\\OEM\\Backup\\;C:\\Program Files\\dotnet\\;C:\\Program Files\\Git\\cmd;C:\\Program Files\\Git LFS;C:\\WINDOWS\\system32;C:\\WINDOWS;C:\\WINDOWS\\System32\\Wbem;C:\\WINDOWS\\System32\\WindowsPowerShell\\v1.0\\;C:\\WINDOWS\\System32\\OpenSSH\\;C:\\Program Files\\Docker\\Docker\\resources\\bin;C:\\Program Files\\nodejs\\;C:\\Program Files (x86)\\NVIDIA Corporation\\PhysX\\Common;C:\\WINDOWS\\system32;C:\\WINDOWS;C:\\WINDOWS\\System32\\Wbem;C:\\WINDOWS\\System32\\WindowsPowerShell\\v1.0\\;C:\\WINDOWS\\System32\\OpenSSH\\;C:\\Recovery\\OEM\\Backup\\;C:\\Program Files\\dotnet\\;C:\\Program Files\\Git\\cmd;C:\\Program Files\\Git LFS;C:\\WINDOWS\\system32;C:\\WINDOWS;C:\\WINDOWS\\System32\\Wbem;C:\\WINDOWS\\System32\\WindowsPowerShell\\v1.0\\;C:\\WINDOWS\\System32\\OpenSSH\\;C:\\Program Files\\Docker\\Docker\\resources\\bin;C:\\Program Files\\nodejs\\;C:\\Users\\ken\\AppData\\Local\\Programs\\Python\\Python310\\Scripts\\;C:\\Users\\ken\\AppData\\Local\\Programs\\Python\\Python310\\;C:\\Users\\ken\\AppData\\Local\\Microsoft\\WindowsApps;C:\\Users\\ken\\AppData\\Local\\Programs\\Microsoft VS Code\\bin;C:\\Users\\ken\\AppData\\Roaming\\npm;C:\\Program Files\\AMD\\ROCm\\5.7\\bin;;"
time=2024-04-22T20:19:14.962+10:00 level=INFO source=gpu.go:121 msg="Detecting GPU type"
time=2024-04-22T20:19:14.962+10:00 level=INFO source=gpu.go:268 msg="Searching for GPU management library cudart64_*.dll"
time=2024-04-22T20:19:14.997+10:00 level=INFO source=gpu.go:314 msg="Discovered GPU libraries: [C:\\Users\\ken\\AppData\\Local\\Programs\\Ollama\\cudart64_110.dll C:\\Program Files (x86)\\NVIDIA Corporation\\PhysX\\Common\\cudart64_60.dll]"
time=2024-04-22T20:19:14.998+10:00 level=INFO source=gpu.go:343 msg="Unable to load cudart CUDA management library C:\\Users\\ken\\AppData\\Local\\Programs\\Ollama\\cudart64_110.dll: your nvidia driver is too old or missing, please upgrade to run ollama"
time=2024-04-22T20:19:14.998+10:00 level=INFO source=gpu.go:343 msg="Unable to load cudart CUDA management library C:\\Program Files (x86)\\NVIDIA Corporation\\PhysX\\Common\\cudart64_60.dll: your nvidia driver is too old or missing, please upgrade to run ollama"
time=2024-04-22T20:19:14.999+10:00 level=INFO source=gpu.go:268 msg="Searching for GPU management library nvml.dll"
time=2024-04-22T20:19:15.035+10:00 level=INFO source=gpu.go:314 msg="Discovered GPU libraries: []"
time=2024-04-22T20:19:15.035+10:00 level=INFO source=cpu_common.go:11 msg="CPU has AVX2"
time=2024-04-22T20:19:15.046+10:00 level=INFO source=amd_windows.go:40 msg="AMD Driver: 50732000"
time=2024-04-22T20:19:15.046+10:00 level=INFO source=amd_windows.go:69 msg="detected 1 hip devices"
time=2024-04-22T20:19:15.046+10:00 level=INFO source=amd_windows.go:87 msg="[0] Name: AMD Radeon 780M Graphics"
time=2024-04-22T20:19:15.047+10:00 level=INFO source=amd_windows.go:90 msg="[0] GcnArchName: gfx1103"
time=2024-04-22T20:19:15.268+10:00 level=INFO source=amd_windows.go:117 msg="[0] Total Mem: 23158226944"
time=2024-04-22T20:19:15.268+10:00 level=INFO source=amd_windows.go:118 msg="[0] Free Mem: 23309320192"
time=2024-04-22T20:19:15.323+10:00 level=INFO source=server.go:127 msg="offload to gpu" reallayers=33 layers=33 required="5222.5 MiB" used="5222.5 MiB" available="22229.5 MiB" kv="1024.0 MiB" fulloffload="164.0 MiB" partialoffload="193.0 MiB"
time=2024-04-22T20:19:15.323+10:00 level=INFO source=cpu_common.go:11 msg="CPU has AVX2"
time=2024-04-22T20:19:15.330+10:00 level=INFO source=server.go:264 msg="starting llama server" cmd="C:\\Users\\ken\\AppData\\Local\\Temp\\ollama570398800\\runners\\rocm_v5.7\\ollama_llama_server.exe --model C:\\Users\\ken\\.ollama\\models\\blobs\\sha256-8934d96d3f08982e95922b2b7a2c626a1fe873d7c3b06e8e56d7bc0a1fef9246 --ctx-size 2048 --batch-size 512 --embedding --log-disable --n-gpu-layers 33 --port 63771"
time=2024-04-22T20:19:15.350+10:00 level=INFO source=server.go:389 msg="waiting for llama runner to start responding"
{"function":"server_params_parse","level":"INFO","line":2603,"msg":"logging to file is disabled.","tid":"18916","timestamp":1713781155}
{"build":2679,"commit":"7593639","function":"wmain","level":"INFO","line":2820,"msg":"build info","tid":"18916","timestamp":1713781155}
{"function":"wmain","level":"INFO","line":2827,"msg":"system info","n_threads":8,"n_threads_batch":-1,"system_info":"AVX = 1 | AVX_VNNI = 0 | AVX2 = 0 | AVX512 = 0 | AVX512_VBMI = 0 | AVX512_VNNI = 0 | FMA = 1 | NEON = 0 | ARM_FMA = 0 | F16C = 1 | FP16_VA = 0 | WASM_SIMD = 0 | BLAS = 1 | SSE3 = 1 | SSSE3 = 1 | VSX = 0 | MATMUL_INT8 = 0 | ","tid":"18916","timestamp":1713781155,"total_threads":16}
llama_model_loader: loaded meta data with 23 key-value pairs and 291 tensors from C:\Users\ken\.ollama\models\blobs\sha256-8934d96d3f08982e95922b2b7a2c626a1fe873d7c3b06e8e56d7bc0a1fef9246 (version GGUF V3 (latest))
llama_model_loader: Dumping metadata keys/values. Note: KV overrides do not apply in this output.
llama_model_loader: - kv 0: general.architecture str = llama
llama_model_loader: - kv 1: general.name str = LLaMA v2
llama_model_loader: - kv 2: llama.context_length u32 = 4096
llama_model_loader: - kv 3: llama.embedding_length u32 = 4096
llama_model_loader: - kv 4: llama.block_count u32 = 32
llama_model_loader: - kv 5: llama.feed_forward_length u32 = 11008
llama_model_loader: - kv 6: llama.rope.dimension_count u32 = 128
llama_model_loader: - kv 7: llama.attention.head_count u32 = 32
llama_model_loader: - kv 8: llama.attention.head_count_kv u32 = 32
llama_model_loader: - kv 9: llama.attention.layer_norm_rms_epsilon f32 = 0.000010
llama_model_loader: - kv 10: general.file_type u32 = 2
llama_model_loader: - kv 11: tokenizer.ggml.model str = llama
llama_model_loader: - kv 12: tokenizer.ggml.tokens arr[str,32000] = ["<unk>", "<s>", "</s>", "<0x00>", "<...
llama_model_loader: - kv 13: tokenizer.ggml.scores arr[f32,32000] = [0.000000, 0.000000, 0.000000, 0.0000...
llama_model_loader: - kv 14: tokenizer.ggml.token_type arr[i32,32000] = [2, 3, 3, 6, 6, 6, 6, 6, 6, 6, 6, 6, ...
llama_model_loader: - kv 15: tokenizer.ggml.merges arr[str,61249] = ["▁ t", "e r", "i n", "▁ a", "e n...
llama_model_loader: - kv 16: tokenizer.ggml.bos_token_id u32 = 1
llama_model_loader: - kv 17: tokenizer.ggml.eos_token_id u32 = 2
llama_model_loader: - kv 18: tokenizer.ggml.unknown_token_id u32 = 0
llama_model_loader: - kv 19: tokenizer.ggml.add_bos_token bool = true
llama_model_loader: - kv 20: tokenizer.ggml.add_eos_token bool = false
llama_model_loader: - kv 21: tokenizer.chat_template str = {% if messages[0]['role'] == 'system'...
llama_model_loader: - kv 22: general.quantization_version u32 = 2
llama_model_loader: - type f32: 65 tensors
llama_model_loader: - type q4_0: 225 tensors
llama_model_loader: - type q6_K: 1 tensors
llm_load_vocab: special tokens definition check successful ( 259/32000 ).
llm_load_print_meta: format = GGUF V3 (latest)
llm_load_print_meta: arch = llama
llm_load_print_meta: vocab type = SPM
llm_load_print_meta: n_vocab = 32000
llm_load_print_meta: n_merges = 0
llm_load_print_meta: n_ctx_train = 4096
llm_load_print_meta: n_embd = 4096
llm_load_print_meta: n_head = 32
llm_load_print_meta: n_head_kv = 32
llm_load_print_meta: n_layer = 32
llm_load_print_meta: n_rot = 128
llm_load_print_meta: n_embd_head_k = 128
llm_load_print_meta: n_embd_head_v = 128
llm_load_print_meta: n_gqa = 1
llm_load_print_meta: n_embd_k_gqa = 4096
llm_load_print_meta: n_embd_v_gqa = 4096
llm_load_print_meta: f_norm_eps = 0.0e+00
llm_load_print_meta: f_norm_rms_eps = 1.0e-05
llm_load_print_meta: f_clamp_kqv = 0.0e+00
llm_load_print_meta: f_max_alibi_bias = 0.0e+00
llm_load_print_meta: f_logit_scale = 0.0e+00
llm_load_print_meta: n_ff = 11008
llm_load_print_meta: n_expert = 0
llm_load_print_meta: n_expert_used = 0
llm_load_print_meta: causal attn = 1
llm_load_print_meta: pooling type = 0
llm_load_print_meta: rope type = 0
llm_load_print_meta: rope scaling = linear
llm_load_print_meta: freq_base_train = 10000.0
llm_load_print_meta: freq_scale_train = 1
llm_load_print_meta: n_yarn_orig_ctx = 4096
llm_load_print_meta: rope_finetuned = unknown
llm_load_print_meta: ssm_d_conv = 0
llm_load_print_meta: ssm_d_inner = 0
llm_load_print_meta: ssm_d_state = 0
llm_load_print_meta: ssm_dt_rank = 0
llm_load_print_meta: model type = 7B
llm_load_print_meta: model ftype = Q4_0
llm_load_print_meta: model params = 6.74 B
llm_load_print_meta: model size = 3.56 GiB (4.54 BPW)
llm_load_print_meta: general.name = LLaMA v2
llm_load_print_meta: BOS token = 1 '<s>'
llm_load_print_meta: EOS token = 2 '</s>'
llm_load_print_meta: UNK token = 0 '<unk>'
llm_load_print_meta: LF token = 13 '<0x0A>'
ggml_cuda_init: GGML_CUDA_FORCE_MMQ: no
ggml_cuda_init: CUDA_USE_TENSOR_CORES: yes
ggml_cuda_init: found 1 ROCm devices:
Device 0: AMD Radeon 780M Graphics, compute capability 11.0, VMM: no
llm_load_tensors: ggml ctx size = 0.22 MiB
llm_load_tensors: offloading 32 repeating layers to GPU
llm_load_tensors: offloading non-repeating layers to GPU
llm_load_tensors: offloaded 33/33 layers to GPU
llm_load_tensors: ROCm0 buffer size = 3577.56 MiB
llm_load_tensors: CPU buffer size = 70.31 MiB
..................................................................................................
llama_new_context_with_model: n_ctx = 2048
llama_new_context_with_model: n_batch = 512
llama_new_context_with_model: n_ubatch = 512
llama_new_context_with_model: freq_base = 10000.0
llama_new_context_with_model: freq_scale = 1
llama_kv_cache_init: ROCm0 KV buffer size = 1024.00 MiB
llama_new_context_with_model: KV self size = 1024.00 MiB, K (f16): 512.00 MiB, V (f16): 512.00 MiB
llama_new_context_with_model: ROCm_Host output buffer size = 0.14 MiB
llama_new_context_with_model: ROCm0 compute buffer size = 164.00 MiB
llama_new_context_with_model: ROCm_Host compute buffer size = 12.01 MiB
llama_new_context_with_model: graph nodes = 1030
llama_new_context_with_model: graph splits = 2
ggml_cuda_compute_forward: RMS_NORM failed
CUDA error: invalid device function
current device: 0, in function ggml_cuda_compute_forward at C:/a/ollama/ollama/llm/llama.cpp/ggml-cuda.cu:2212
err
GGML_ASSERT: C:/a/ollama/ollama/llm/llama.cpp/ggml-cuda.cu:60: !"CUDA error"
time=2024-04-22T20:19:19.352+10:00 level=ERROR source=routes.go:120 msg="error loading llama server" error="llama runner process no longer running: 3221226505 CUDA error: invalid device function\r\n current device: 0, in function ggml_cuda_compute_forward at C:/a/ollama/ollama/llm/llama.cpp/ggml-cuda.cu:2212\r\n err\r\nGGML_ASSERT: C:/a/ollama/ollama/llm/llama.cpp/ggml-cuda.cu:60: !\"CUDA error\""
[GIN] 2024/04/22 - 20:19:19 | 500 | 5.1720784s | 127.0.0.1 | POST "/api/generate"
我按这个测试了ollama_windows_10_rx6600xt_zluda,amd显卡能成功运行并加速推理,你也试试。
Wow, confirm latest release works, did follow instruction copy cublas.dll to Ollama folder and renamed, 50% performance bump via APU
Try use 5700xt getting errors, maybe related to my ROCm hack, it’s also not on support list. Happy with the APU working 🎉
Try use 5700xt getting errors, maybe related to my ROCm hack, it’s also not on support list. Happy with the APU working 🎉 !
我也是5700xt,zluda有支持并调用gpu,可以试试ROCmLibs_Testing.7z
那个包,我用的没问题。
confirm working using zluda + stable diffusion via GPU here